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Modeling nation-wide US swine movement networks at the resolution of the individual premises

Sellman, Stefan (author)
Linköpings universitet,Ekologisk och miljövetenskaplig modellering,Tekniska fakulteten
Beck-Johnson, Lindsay M. (author)
Colorado State Univ, CO 80523 USA
Hallman, Clayton (author)
USDA APHIS Vet Serv, NE USA
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Miller, Ryan S. (author)
USDA APHIS Vet Serv, NE USA
Bonner, Katharine A. Owers (author)
Colorado State Univ, CO 80523 USA
Portacci, Katie (author)
USDA APHIS Vet Serv, NE USA
Webb, Colleen T. (author)
Colorado State Univ, CO 80523 USA
Lindström, Tom (author)
Linköpings universitet,Ekologisk och miljövetenskaplig modellering,Tekniska fakulteten
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 (creator_code:org_t)
Elsevier, 2022
2022
English.
In: Epidemics. - : Elsevier. - 1755-4365 .- 1878-0067. ; 41
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • The spread of infectious livestock diseases is a major cause for concern in modern agricultural systems. In the dynamics of the transmission of such diseases, movements of livestock between herds play an important role. When constructing mathematical models used for activities such as forecasting epidemic development, evaluating mitigation strategies, or determining important targets for disease surveillance, including between -premises shipments is often a necessity. In the United States (U.S.), livestock shipment data is not routinely collected, and when it is, it is not readily available and mostly concerned with between-state shipments. To bridge this gap in knowledge and provide insight into the complete livestock shipment network structure, we have developed the U.S. Animal Movement Model (USAMM). Previously, USAMM has only existed for cattle shipments, but here we present a version for domestic swine. This new version of USAMM consists of a Bayesian model fit to premises demography, county-level livestock industry variables, and two limited data sets of between-state swine movements. The model scales up the data to simulate nation-wide networks of both within-and between-state shipments at the level of individual premises. Here we describe this shipment model in detail and subsequently explore its usefulness with a rudimentary predictive model of the prevalence of porcine epidemic diarrhea virus (PEDv) across the U.S. Additionally, in order to promote further research on livestock disease and other topics involving the movements of swine in the U.S., we also make 250 synthetic premises-level swine shipment networks with complete coverage of the entire conterminous U.S. freely available to the research community as a useful surrogate for the absent shipment data.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Infektionsmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Infectious Medicine (hsv//eng)

Keyword

Livestock; Swine; Shipment; United States; PEDv

Publication and Content Type

ref (subject category)
art (subject category)

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